ASCIIMath creating images

Wednesday, May 18, 2016

When I started switching to Python for my work on CASA, it wasn't entirely clear to me how to use the sklearn GMM (sklearn.mixture.GMM) for classification. Turned out a bit easier than expected (yay for scikit-learn!), but for others, here is my implementation of a class that behaves like the other classifiers (eg. sklean.svm.SVC). All you need to decide is how many Gaussians you want to model your data with, and off you go.

Why isn't something like this in sklearn yet? Well, turns out someone did propose it already (no surprise) in a much more general way: see this discussion on GitHub. (I myself was pointed there when I asked about my own code) My bit of code is far more primitive, but I hope easier to understand.